Gemini 3 Pro DeepMind Page: https://deepmind.google/models/gemini/pro/
Developer blog: https://blog.google/technology/developers/gemini-3-developer...
Gemini 3 Docs: https://ai.google.dev/gemini-api/docs/gemini-3
Google Antigravity: https://antigravity.google/
Edit: nvm it looks to be up for me again
Many can point to a long history of killed products and soured opinions but you can't deny theyve been the great balancing force (often for good) in the industry.
- Gmail vs Outlook
- Drive vs Word
- Android vs iOS
- Worklife balance and high pay vs the low salary grind of before.
Theyve done heaps for the industry. Im glad to see signs of life. Particularly in their P/E which was unjustly low for awhile.
You are now seeing their valuation finally adjusting to that fact all thanks to DeepMind finally being put to use.
Taking those products from where there were to the juggernauts they are today was not guaranteed to succeed, nor was it easy. And yes plenty of innovation happened with these products post aquisition.
Input: $1.25 -> $2.00 (1M tokens)
Output: $10.00 -> $12.00
Squeezes a bit more margin out of app layer companies, certainly, but there's a good chance that for tasks that really require a sota model it can be more than justified.
If we're paying more for a more petaflop heavy model, it makes sense that costs would go up. What really would concern me is if companies start ratcheting prices up for models with the same level of performance. My hope is raw hardware costs and OSS releases keep a lid on the margin pressure.
"Users"? Or people that get presented with it and ignore it?
Cringe. To get to 2 billion a month they must be counting anyone who sees an AI overview as a user. They should just go ahead and claim the "most quickly adopted product in history" as well.
> The training dataset also includes: publicly available datasets that are readily downloadable; data obtained by crawlers; licensed data obtained via commercial licensing agreements; user data (i.e., data collected from users of Google products and services to train AI models, along with user interactions with the model) in accordance with Google’s relevant terms of service, privacy policy, service-specific policies, and pursuant to user controls, where appropriate; other datasets that Google acquires or generates in the course of its business operations, or directly from its workforce; and AI-generated synthetic data.
So your Gmails are being read by Gemini and is being put on the training set for future models. Oh dear and Google is being sued over using Gemini for analyzing user's data which potentially includes Gmails by default.
Where is the outrage?
[0] https://web.archive.org/web/20251118111103/https://storage.g...
[1] https://www.yahoo.com/news/articles/google-sued-over-gemini-...
"gmail being read by gemini" does NOT mean "gemini is trained on your private gmail correspondence". it can mean gemini loads your emails into a session context so it can answer questions about your mail, which is quite different.
> in accordance with Google’s relevant terms of service, privacy policy
That said, LLMs are the most data-greedy technology of all time, and it wouldn't surprise me that companies building them feel so much pressure to top each other they "sidestep" their own TOSes. There are plenty of signals they are already changing their terms to train when previously they said they wouldn't--see Anthropic's update in August regarding Claude Code.
If anyone ever starts caring about privacy again, this might be a way to bring down the crazy AI capex / tech valuations. It is probably possible, if you are a sufficiently funded and motivated actor, to tease out evidence of training data that shouldn't be there based on a vendor's TOS. There is already evidence some IP owners (like NYT) have done this for copyright claims, but you could get a lot more pitchforks out if it turns out Jane Doe's HIPAA-protected information in an email was trained on.
Not to be a negative nelly, but these numbers are definitely inflated due to Google literally pushing their AI into everything they can, much like M$. Can't even search google without getting an AI response. Surely you can't claim those numbers are legit.
You're implying they're lying?
Marketing is always somewhere in the middle
Unless these numbers are just lies, I'm not sure how this is "pushing their AI into everything they can". Especially on iOS where every user is someone who went to App Store and downloaded it. Admittedly on Android, Gemini is preinstalled these days but it's still a choice that users are making to go there rather than being an existing product they happen to user otherwise.
Now OTOH "AI overviews now have two billion users" can definitely be criticised in the way you suggest.
Yes and no, my power button got remapped to opening Gemini in an update...
I removed that but I can imagine that your average user doesn't.
As an Android and Google Workspace user, I definitely feel like Google is "pushing their AI into everything they can", including the Gemini app.
For example I don't pay for ChatGPT or Claude, even if they are better at certain tasks or in general. But I have Google One cloud storage sub for my photos and it comes with a Gemini Pro apparently (thanks to someone on HN for pointing it out). And so Gemini is my go to LLM app/service. I suspect the same goes for many others.
Google injects AI Overviews directly into search, X pushes Grok into the feed, Apple wraps "intelligence" into Maps and on-device workflows, and Microsoft is quietly doing the same with Copilot across Windows and Office.
Open models and startups can innovate, but the platforms can immediately put their AI in front of billions of users without asking anyone to change behavior (not even typing a new URL).
If you are transferring a conversation trace from another model, ... to bypass strict validation in these specific scenarios, populate the field with this specific dummy string:
"thoughtSignature": "context_engineering_is_the_way_to_go"
The fact that these models can keep getting better at this task given the setup of training is mind-boggling to me.
The ARC puzzles in question: https://arcprize.org/arc-agi/2/
Come on, you can’t be serious.
denysvitali•1h ago